Fuzzy PID controller for UAV tracking moving target

Weiyong Si; Haoping She; Zhanglong Wang

doi:10.1109/CCDC.2017.7979027

Fuzzy PID controller for UAV tracking moving target

Weiyong Si, Haoping She^*, Zhanglong Wang

^*Corresponding author for this work

School of Aerospace Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

During the Vision-based Unmanned Aerial Vehicle (UAV) tracking mobile vehicle, the speed of vehicle is different and variation with the time, so the conventional PID controller with single fixed parameters is difficult to track the mobile vehicle precisely. For the question, designing the Fuzzy PID controller, which can adjust the parameters of the PID controller according to different conditions, is necessary. In this paper, describing its characteristics and the rules of adjusting the parameters, it can meet the requirement of tracking the mobile vehicle precisely. The simulation results demonstrate that, under different vehicle speed and variation with time, the Fuzzy PID controller response is fast, small overshoot, high robustness and high tracking accuracy.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3023-3027
Number of pages	5
ISBN (Electronic)	9781509046560
DOIs	https://doi.org/10.1109/CCDC.2017.7979027
Publication status	Published - 12 Jul 2017
Event	29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China Duration: 28 May 2017 → 30 May 2017

Publication series

Name	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference	29th Chinese Control and Decision Conference, CCDC 2017
Country/Territory	China
City	Chongqing
Period	28/05/17 → 30/05/17

Keywords

Fuzzy adaptive
Mobile vehicle
PID Controller
UAV
Vision-based tracking controller

Access to Document

10.1109/CCDC.2017.7979027

Cite this

Si, W., She, H., & Wang, Z. (2017). Fuzzy PID controller for UAV tracking moving target. In Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 (pp. 3023-3027). Article 7979027 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2017.7979027

@inproceedings{357c729ce2564f95b4b136fded09c84a,

title = "Fuzzy PID controller for UAV tracking moving target",

abstract = "During the Vision-based Unmanned Aerial Vehicle (UAV) tracking mobile vehicle, the speed of vehicle is different and variation with the time, so the conventional PID controller with single fixed parameters is difficult to track the mobile vehicle precisely. For the question, designing the Fuzzy PID controller, which can adjust the parameters of the PID controller according to different conditions, is necessary. In this paper, describing its characteristics and the rules of adjusting the parameters, it can meet the requirement of tracking the mobile vehicle precisely. The simulation results demonstrate that, under different vehicle speed and variation with time, the Fuzzy PID controller response is fast, small overshoot, high robustness and high tracking accuracy.",

keywords = "Fuzzy adaptive, Mobile vehicle, PID Controller, UAV, Vision-based tracking controller",

author = "Weiyong Si and Haoping She and Zhanglong Wang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",

year = "2017",

month = jul,

day = "12",

doi = "10.1109/CCDC.2017.7979027",

language = "English",

series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3023--3027",

booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

address = "United States",

}

Si, W, She, H & Wang, Z 2017, Fuzzy PID controller for UAV tracking moving target. in Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017., 7979027, Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 3023-3027, 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, 28/05/17. https://doi.org/10.1109/CCDC.2017.7979027

Fuzzy PID controller for UAV tracking moving target. / Si, Weiyong; She, Haoping; Wang, Zhanglong.
Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3023-3027 7979027 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy PID controller for UAV tracking moving target

AU - Si, Weiyong

AU - She, Haoping

AU - Wang, Zhanglong

PY - 2017/7/12

Y1 - 2017/7/12

N2 - During the Vision-based Unmanned Aerial Vehicle (UAV) tracking mobile vehicle, the speed of vehicle is different and variation with the time, so the conventional PID controller with single fixed parameters is difficult to track the mobile vehicle precisely. For the question, designing the Fuzzy PID controller, which can adjust the parameters of the PID controller according to different conditions, is necessary. In this paper, describing its characteristics and the rules of adjusting the parameters, it can meet the requirement of tracking the mobile vehicle precisely. The simulation results demonstrate that, under different vehicle speed and variation with time, the Fuzzy PID controller response is fast, small overshoot, high robustness and high tracking accuracy.

AB - During the Vision-based Unmanned Aerial Vehicle (UAV) tracking mobile vehicle, the speed of vehicle is different and variation with the time, so the conventional PID controller with single fixed parameters is difficult to track the mobile vehicle precisely. For the question, designing the Fuzzy PID controller, which can adjust the parameters of the PID controller according to different conditions, is necessary. In this paper, describing its characteristics and the rules of adjusting the parameters, it can meet the requirement of tracking the mobile vehicle precisely. The simulation results demonstrate that, under different vehicle speed and variation with time, the Fuzzy PID controller response is fast, small overshoot, high robustness and high tracking accuracy.

KW - Fuzzy adaptive

KW - Mobile vehicle

KW - PID Controller

KW - UAV

KW - Vision-based tracking controller

UR - http://www.scopus.com/inward/record.url?scp=85028044152&partnerID=8YFLogxK

U2 - 10.1109/CCDC.2017.7979027

DO - 10.1109/CCDC.2017.7979027

M3 - Conference contribution

AN - SCOPUS:85028044152

T3 - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

SP - 3023

EP - 3027

BT - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 29th Chinese Control and Decision Conference, CCDC 2017

Y2 - 28 May 2017 through 30 May 2017

ER -

Fuzzy PID controller for UAV tracking moving target

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this